Overview

Dataset statistics

Number of variables23
Number of observations52
Missing cells277
Missing cells (%)23.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory186.5 B

Variable types

Numeric20
Unsupported2
Categorical1

Alerts

Nuclear has 14 (26.9%) missing valuesMissing
Electricity has 52 (100.0%) missing valuesMissing
LPG has 52 (100.0%) missing valuesMissing
Kerosene/jet fuel has 45 (86.5%) missing valuesMissing
Coke has 26 (50.0%) missing valuesMissing
Charcoal has 48 (92.3%) missing valuesMissing
Other secondary has 9 (17.3%) missing valuesMissing
Non-energy has 31 (59.6%) missing valuesMissing
Year is uniformly distributedUniform
Charcoal is uniformly distributedUniform
Year has unique valuesUnique
Oil has unique valuesUnique
Natural gas has unique valuesUnique
Coal has unique valuesUnique
Hydroenergy has unique valuesUnique
Firewood has unique valuesUnique
Sugarcane and products has unique valuesUnique
Other Primary_x000d_ has unique valuesUnique
Total Primaries has unique valuesUnique
Gasoline/alcohol has unique valuesUnique
Fuel oil has unique valuesUnique
Total Secundaries has unique valuesUnique
Total has unique valuesUnique
Electricity is an unsupported type, check if it needs cleaning or further analysisUnsupported
LPG is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-07-30 07:40:48.646760
Analysis finished2023-07-30 07:42:24.063884
Duration1 minute and 35.42 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

Year
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1995.5
Minimum1970
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:42:24.228881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1970
5-th percentile1972.55
Q11982.75
median1995.5
Q32008.25
95-th percentile2018.45
Maximum2021
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.0075944662
Kurtosis-1.2
Mean1995.5
Median Absolute Deviation (MAD)13
Skewness0
Sum103766
Variance229.66667
MonotonicityStrictly increasing
2023-07-30T07:42:24.510579image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1970 1
 
1.9%
1971 1
 
1.9%
1998 1
 
1.9%
1999 1
 
1.9%
2000 1
 
1.9%
2001 1
 
1.9%
2002 1
 
1.9%
2003 1
 
1.9%
2004 1
 
1.9%
2005 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1970 1
1.9%
1971 1
1.9%
1972 1
1.9%
1973 1
1.9%
1974 1
1.9%
1975 1
1.9%
1976 1
1.9%
1977 1
1.9%
1978 1
1.9%
1979 1
1.9%
ValueCountFrequency (%)
2021 1
1.9%
2020 1
1.9%
2019 1
1.9%
2018 1
1.9%
2017 1
1.9%
2016 1
1.9%
2015 1
1.9%
2014 1
1.9%
2013 1
1.9%
2012 1
1.9%

Oil
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-71386.159
Minimum-110094.93
Maximum-25535.85
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:24.789950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-110094.93
5-th percentile-102554.36
Q1-90974.698
median-67175.015
Q3-55333.482
95-th percentile-35762.822
Maximum-25535.85
Range84559.08
Interquartile range (IQR)35641.215

Descriptive statistics

Standard deviation21795.423
Coefficient of variation (CV)-0.30531721
Kurtosis-0.91877918
Mean-71386.159
Median Absolute Deviation (MAD)18573.625
Skewness0.18826904
Sum-3712080.3
Variance4.7504045 × 108
MonotonicityNot monotonic
2023-07-30T07:42:25.029331image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-25535.85 1
 
1.9%
-27087.07 1
 
1.9%
-80769.42 1
 
1.9%
-82219.83 1
 
1.9%
-82957.81 1
 
1.9%
-85959.39 1
 
1.9%
-84939.59 1
 
1.9%
-84764.22 1
 
1.9%
-89420.17 1
 
1.9%
-88882.66 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-110094.93 1
1.9%
-108340.2 1
1.9%
-104097.68 1
1.9%
-101291.64 1
1.9%
-95518.07 1
1.9%
-94978.96 1
1.9%
-93286.2 1
1.9%
-93235.34 1
1.9%
-92660.95 1
1.9%
-92507.07 1
1.9%
ValueCountFrequency (%)
-25535.85 1
1.9%
-27087.07 1
1.9%
-32312.49 1
1.9%
-38585.82 1
1.9%
-41273.49 1
1.9%
-44830.05 1
1.9%
-47517.07 1
1.9%
-48812.14 1
1.9%
-51872.23 1
1.9%
-53271.18 1
1.9%

Natural gas
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4957.2696
Minimum-20068.66
Maximum-104.22
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:25.279928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-20068.66
5-th percentile-19334.328
Q1-6084.3175
median-1319.845
Q3-421.5425
95-th percentile-176.2605
Maximum-104.22
Range19964.44
Interquartile range (IQR)5662.775

Descriptive statistics

Standard deviation6487.2879
Coefficient of variation (CV)-1.3086413
Kurtosis0.44444821
Mean-4957.2696
Median Absolute Deviation (MAD)1127.625
Skewness-1.3840169
Sum-257778.02
Variance42084904
MonotonicityNot monotonic
2023-07-30T07:42:25.550730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-104.22 1
 
1.9%
-156.77 1
 
1.9%
-1573.39 1
 
1.9%
-1974.72 1
 
1.9%
-2773.5 1
 
1.9%
-4062.26 1
 
1.9%
-3550.7 1
 
1.9%
-3720.77 1
 
1.9%
-5284.52 1
 
1.9%
-5748.81 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-20068.66 1
1.9%
-19842.89 1
1.9%
-19823.19 1
1.9%
-18934.35 1
1.9%
-17715.69 1
1.9%
-17246.76 1
1.9%
-16132.09 1
1.9%
-16120.62 1
1.9%
-15103.99 1
1.9%
-11290.94 1
1.9%
ValueCountFrequency (%)
-104.22 1
1.9%
-156.77 1
1.9%
-173.34 1
1.9%
-178.65 1
1.9%
-205.79 1
1.9%
-222.33 1
1.9%
-226.7 1
1.9%
-231.82 1
1.9%
-235.91 1
1.9%
-255.44 1
1.9%

Coal
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8663.2073
Minimum-13957.97
Maximum-2106.76
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:25.811414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-13957.97
5-th percentile-13663.091
Q1-12096.385
median-9055.66
Q3-4790.3775
95-th percentile-2166.8605
Maximum-2106.76
Range11851.21
Interquartile range (IQR)7306.0075

Descriptive statistics

Standard deviation3809.584
Coefficient of variation (CV)-0.43974291
Kurtosis-1.0763514
Mean-8663.2073
Median Absolute Deviation (MAD)3145.415
Skewness0.38008822
Sum-450486.78
Variance14512931
MonotonicityNot monotonic
2023-07-30T07:42:26.075495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2106.76 1
 
1.9%
-2160.31 1
 
1.9%
-9034.21 1
 
1.9%
-13403.38 1
 
1.9%
-13957.97 1
 
1.9%
-13637.76 1
 
1.9%
-8368.26 1
 
1.9%
-8367.64 1
 
1.9%
-9071.02 1
 
1.9%
-9040.3 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-13957.97 1
1.9%
-13723.61 1
1.9%
-13694.05 1
1.9%
-13637.76 1
1.9%
-13533.08 1
1.9%
-13403.38 1
1.9%
-13298.42 1
1.9%
-13255.93 1
1.9%
-12903.04 1
1.9%
-12365.97 1
1.9%
ValueCountFrequency (%)
-2106.76 1
1.9%
-2125.17 1
1.9%
-2160.31 1
1.9%
-2172.22 1
1.9%
-2174.7 1
1.9%
-2498.04 1
1.9%
-3073.38 1
1.9%
-3686.22 1
1.9%
-4083.81 1
1.9%
-4320.4 1
1.9%

Hydroenergy
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-21265.354
Minimum-36745.28
Maximum-3421.52
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:26.339281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-36745.28
5-th percentile-34341.533
Q1-31269.517
median-22337.04
Q3-12799.355
95-th percentile-4697.6715
Maximum-3421.52
Range33323.76
Interquartile range (IQR)18470.162

Descriptive statistics

Standard deviation10203.648
Coefficient of variation (CV)-0.479825
Kurtosis-1.229239
Mean-21265.354
Median Absolute Deviation (MAD)9340.7
Skewness0.22361031
Sum-1105798.4
Variance1.0411444 × 108
MonotonicityNot monotonic
2023-07-30T07:42:26.591488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3421.52 1
 
1.9%
-3713.63 1
 
1.9%
-24997.63 1
 
1.9%
-25187.92 1
 
1.9%
-26168.19 1
 
1.9%
-23028.12 1
 
1.9%
-24536.48 1
 
1.9%
-26238.99 1
 
1.9%
-27520.13 1
 
1.9%
-28946.38 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-36745.28 1
1.9%
-35737.54 1
1.9%
-34596.92 1
1.9%
-34132.58 1
1.9%
-34004.25 1
1.9%
-33642.36 1
1.9%
-33541.59 1
1.9%
-33368.56 1
1.9%
-32677.11 1
1.9%
-32085.54 1
1.9%
ValueCountFrequency (%)
-3421.52 1
1.9%
-3713.63 1
1.9%
-4356.82 1
1.9%
-4976.55 1
1.9%
-5646.13 1
1.9%
-6214.19 1
1.9%
-7127.67 1
1.9%
-8036.06 1
1.9%
-8832.62 1
1.9%
-10021.87 1
1.9%

Nuclear
Real number (ℝ)

Distinct38
Distinct (%)100.0%
Missing14
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean-2129.1611
Minimum-4203.27
Maximum-2.58
Zeros0
Zeros (%)0.0%
Negative38
Negative (%)73.1%
Memory size548.0 B
2023-07-30T07:42:26.841964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-4203.27
5-th percentile-4141.144
Q1-3821.7375
median-3121.63
Q3-92.4125
95-th percentile-14.395
Maximum-2.58
Range4200.69
Interquartile range (IQR)3729.325

Descriptive statistics

Standard deviation1834.2937
Coefficient of variation (CV)-0.86151009
Kurtosis-1.944345
Mean-2129.1611
Median Absolute Deviation (MAD)1035.39
Skewness0.18628677
Sum-80908.12
Variance3364633.5
MonotonicityNot monotonic
2023-07-30T07:42:27.069230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
-4179.7 1
 
1.9%
-2482.01 1
 
1.9%
-3581.88 1
 
1.9%
-3213.03 1
 
1.9%
-3640.71 1
 
1.9%
-3376.67 1
 
1.9%
-3779.7 1
 
1.9%
-4080.93 1
 
1.9%
-4026.28 1
 
1.9%
-3436.73 1
 
1.9%
Other values (28) 28
53.8%
(Missing) 14
26.9%
ValueCountFrequency (%)
-4203.27 1
1.9%
-4179.7 1
1.9%
-4134.34 1
1.9%
-4101.73 1
1.9%
-4084.71 1
1.9%
-4080.93 1
1.9%
-4026.28 1
1.9%
-4007.72 1
1.9%
-3839.81 1
1.9%
-3835.75 1
1.9%
ValueCountFrequency (%)
-2.58 1
1.9%
-4.28 1
1.9%
-16.18 1
1.9%
-18.75 1
1.9%
-30.77 1
1.9%
-39.98 1
1.9%
-46.77 1
1.9%
-54.71 1
1.9%
-68.81 1
1.9%
-90.15 1
1.9%

Firewood
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9685.6273
Minimum-15766.18
Maximum-3506.56
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:27.314941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-15766.18
5-th percentile-13950.987
Q1-12278.532
median-9209.085
Q3-7815.6275
95-th percentile-4782.2265
Maximum-3506.56
Range12259.62
Interquartile range (IQR)4462.905

Descriptive statistics

Standard deviation2900.5415
Coefficient of variation (CV)-0.29946863
Kurtosis-0.59472235
Mean-9685.6273
Median Absolute Deviation (MAD)2011.29
Skewness-0.021134065
Sum-503652.62
Variance8413141
MonotonicityNot monotonic
2023-07-30T07:42:27.570989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3506.56 1
 
1.9%
-3992.44 1
 
1.9%
-8052.4 1
 
1.9%
-10153 1
 
1.9%
-11095.02 1
 
1.9%
-10280.23 1
 
1.9%
-9261.48 1
 
1.9%
-10868.83 1
 
1.9%
-12394.81 1
 
1.9%
-12269.84 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-15766.18 1
1.9%
-15177.36 1
1.9%
-14216.18 1
1.9%
-13734.01 1
1.9%
-13385.4 1
1.9%
-13325.03 1
1.9%
-13050.88 1
1.9%
-13003.33 1
1.9%
-12943.34 1
1.9%
-12394.81 1
1.9%
ValueCountFrequency (%)
-3506.56 1
1.9%
-3992.44 1
1.9%
-4626.45 1
1.9%
-4909.68 1
1.9%
-6119.43 1
1.9%
-6641.57 1
1.9%
-6751.89 1
1.9%
-6915.5 1
1.9%
-7080.66 1
1.9%
-7314.93 1
1.9%

Sugarcane and products
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9572.0869
Minimum-24570.39
Maximum-451.9
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:27.832747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-24570.39
5-th percentile-22502.536
Q1-16064.045
median-7604.88
Q3-5029.095
95-th percentile-468.55
Maximum-451.9
Range24118.49
Interquartile range (IQR)11034.95

Descriptive statistics

Standard deviation7244.795
Coefficient of variation (CV)-0.75686683
Kurtosis-0.73584883
Mean-9572.0869
Median Absolute Deviation (MAD)4936.145
Skewness-0.61286824
Sum-497748.52
Variance52487055
MonotonicityNot monotonic
2023-07-30T07:42:28.136069image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-451.9 1
 
1.9%
-468.64 1
 
1.9%
-8470.72 1
 
1.9%
-7888.21 1
 
1.9%
-6513.66 1
 
1.9%
-7124.47 1
 
1.9%
-7776.61 1
 
1.9%
-9000.99 1
 
1.9%
-9094.13 1
 
1.9%
-10237.1 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-24570.39 1
1.9%
-23504.19 1
1.9%
-23388.63 1
1.9%
-21777.55 1
1.9%
-21164.15 1
1.9%
-20887.52 1
1.9%
-20639.82 1
1.9%
-20619.04 1
1.9%
-19845.32 1
1.9%
-18804.48 1
1.9%
ValueCountFrequency (%)
-451.9 1
1.9%
-459.75 1
1.9%
-468.44 1
1.9%
-468.64 1
1.9%
-484.83 1
1.9%
-488.38 1
1.9%
-508.38 1
1.9%
-990.72 1
1.9%
-1566.14 1
1.9%
-1990.18 1
1.9%

Other Primary_x000d_
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3137.4679
Minimum-18575.13
Maximum-79.87
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:28.577330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-18575.13
5-th percentile-14154.908
Q1-3343.3575
median-1347.76
Q3-356.8225
95-th percentile-91.123
Maximum-79.87
Range18495.26
Interquartile range (IQR)2986.535

Descriptive statistics

Standard deviation4553.7809
Coefficient of variation (CV)-1.4514191
Kurtosis3.243915
Mean-3137.4679
Median Absolute Deviation (MAD)1050.71
Skewness-2.0023169
Sum-163148.33
Variance20736920
MonotonicityNot monotonic
2023-07-30T07:42:29.036166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-81.16 1
 
1.9%
-79.87 1
 
1.9%
-1476.86 1
 
1.9%
-1695.34 1
 
1.9%
-2129.07 1
 
1.9%
-2373.21 1
 
1.9%
-1698.22 1
 
1.9%
-1746.83 1
 
1.9%
-1842.19 1
 
1.9%
-2184.85 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-18575.13 1
1.9%
-15913.03 1
1.9%
-14843.86 1
1.9%
-13591.22 1
1.9%
-11701.71 1
1.9%
-10256.12 1
1.9%
-9016.19 1
1.9%
-7566.35 1
1.9%
-5969.37 1
1.9%
-5473.51 1
1.9%
ValueCountFrequency (%)
-79.87 1
1.9%
-81.16 1
1.9%
-88.45 1
1.9%
-93.31 1
1.9%
-94.16 1
1.9%
-95.02 1
1.9%
-107.46 1
1.9%
-107.6 1
1.9%
-126.9 1
1.9%
-199.06 1
1.9%

Total Primaries
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-130102.94
Minimum-214768.79
Maximum-35207.96
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:29.424556image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-214768.79
5-th percentile-207942.57
Q1-171598.83
median-124462.14
Q3-85352.753
95-th percentile-48178.475
Maximum-35207.96
Range179560.83
Interquartile range (IQR)86246.075

Descriptive statistics

Standard deviation51956.639
Coefficient of variation (CV)-0.39935022
Kurtosis-1.0630313
Mean-130102.94
Median Absolute Deviation (MAD)42100.815
Skewness0.016125363
Sum-6765353
Variance2.6994923 × 109
MonotonicityNot monotonic
2023-07-30T07:42:29.876081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-35207.96 1
 
1.9%
-37658.73 1
 
1.9%
-133983.32 1
 
1.9%
-142069.13 1
 
1.9%
-146679.02 1
 
1.9%
-149363.85 1
 
1.9%
-143740.28 1
 
1.9%
-148145 1
 
1.9%
-157657.21 1
 
1.9%
-159791.95 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-214768.79 1
1.9%
-209403.68 1
1.9%
-208085.7 1
1.9%
-207825.46 1
1.9%
-203709.39 1
1.9%
-203051.15 1
1.9%
-199673.82 1
1.9%
-198946.59 1
1.9%
-197645.09 1
1.9%
-194273.1 1
1.9%
ValueCountFrequency (%)
-35207.96 1
1.9%
-37658.73 1
1.9%
-44249.17 1
1.9%
-51393.36 1
1.9%
-55933.47 1
1.9%
-61632.62 1
1.9%
-65182.23 1
1.9%
-68640.07 1
1.9%
-76200.7 1
1.9%
-81514.93 1
1.9%

Electricity
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size548.0 B

LPG
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size548.0 B

Gasoline/alcohol
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1420.8615
Minimum-3079
Maximum-38.77
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:30.294816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-3079
5-th percentile-2451.469
Q1-2129.8025
median-1350.3
Q3-898.8475
95-th percentile-192.0385
Maximum-38.77
Range3040.23
Interquartile range (IQR)1230.955

Descriptive statistics

Standard deviation799.7345
Coefficient of variation (CV)-0.56285182
Kurtosis-1.1313507
Mean-1420.8615
Median Absolute Deviation (MAD)744.285
Skewness0.06184446
Sum-73884.8
Variance639575.27
MonotonicityNot monotonic
2023-07-30T07:42:30.673761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-38.77 1
 
1.9%
-46.15 1
 
1.9%
-1659.1 1
 
1.9%
-2109.73 1
 
1.9%
-2576.7 1
 
1.9%
-2131.76 1
 
1.9%
-2084.96 1
 
1.9%
-2324.7 1
 
1.9%
-2145.11 1
 
1.9%
-2346.9 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-3079 1
1.9%
-2576.7 1
1.9%
-2454.01 1
1.9%
-2449.39 1
1.9%
-2411.07 1
1.9%
-2346.9 1
1.9%
-2337.59 1
1.9%
-2324.7 1
1.9%
-2290.74 1
1.9%
-2244.81 1
1.9%
ValueCountFrequency (%)
-38.77 1
1.9%
-46.15 1
1.9%
-111.26 1
1.9%
-258.13 1
1.9%
-287.28 1
1.9%
-319.78 1
1.9%
-323.38 1
1.9%
-325.04 1
1.9%
-388.12 1
1.9%
-652.63 1
1.9%

Kerosene/jet fuel
Real number (ℝ)

Distinct7
Distinct (%)100.0%
Missing45
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean-65.134286
Minimum-162.83
Maximum-0.82
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)13.5%
Memory size548.0 B
2023-07-30T07:42:31.113362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-162.83
5-th percentile-152.546
Q1-106.7
median-29.4
Q3-24.745
95-th percentile-7.708
Maximum-0.82
Range162.01
Interquartile range (IQR)81.955

Descriptive statistics

Standard deviation61.417197
Coefficient of variation (CV)-0.94293192
Kurtosis-1.0870419
Mean-65.134286
Median Absolute Deviation (MAD)28.58
Skewness-0.7568859
Sum-455.94
Variance3772.0721
MonotonicityNot monotonic
2023-07-30T07:42:31.325229image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-0.82 1
 
1.9%
-25.71 1
 
1.9%
-128.55 1
 
1.9%
-162.83 1
 
1.9%
-29.4 1
 
1.9%
-84.85 1
 
1.9%
-23.78 1
 
1.9%
(Missing) 45
86.5%
ValueCountFrequency (%)
-162.83 1
1.9%
-128.55 1
1.9%
-84.85 1
1.9%
-29.4 1
1.9%
-25.71 1
1.9%
-23.78 1
1.9%
-0.82 1
1.9%
ValueCountFrequency (%)
-0.82 1
1.9%
-23.78 1
1.9%
-25.71 1
1.9%
-29.4 1
1.9%
-84.85 1
1.9%
-128.55 1
1.9%
-162.83 1
1.9%

Diesel oil
Real number (ℝ)

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1097.4769
Minimum-3286.14
Maximum-152.6
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:31.568602image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-3286.14
5-th percentile-2524.991
Q1-1656.9125
median-948.94
Q3-366.77
95-th percentile-176.909
Maximum-152.6
Range3133.54
Interquartile range (IQR)1290.1425

Descriptive statistics

Standard deviation786.99242
Coefficient of variation (CV)-0.71709246
Kurtosis-0.25532566
Mean-1097.4769
Median Absolute Deviation (MAD)606.73
Skewness-0.65032171
Sum-57068.8
Variance619357.08
MonotonicityNot monotonic
2023-07-30T07:42:31.827197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-186.9 2
 
3.8%
-192.9 1
 
1.9%
-1696.49 1
 
1.9%
-1989.17 1
 
1.9%
-1550.88 1
 
1.9%
-1711.59 1
 
1.9%
-1290.67 1
 
1.9%
-1507.33 1
 
1.9%
-1832.36 1
 
1.9%
-1929.91 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
-3286.14 1
1.9%
-2648.16 1
1.9%
-2645.54 1
1.9%
-2426.36 1
1.9%
-2113.65 1
1.9%
-2038.28 1
1.9%
-1989.17 1
1.9%
-1933.18 1
1.9%
-1929.91 1
1.9%
-1873.52 1
1.9%
ValueCountFrequency (%)
-152.6 1
1.9%
-164.61 1
1.9%
-168.89 1
1.9%
-183.47 1
1.9%
-186.9 2
3.8%
-190.33 1
1.9%
-192.9 1
1.9%
-203.19 1
1.9%
-289.77 1
1.9%
-337.42 1
1.9%

Fuel oil
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1202.9125
Minimum-4129.53
Maximum-467.07
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:32.088448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-4129.53
5-th percentile-2171.1435
Q1-1338.5775
median-1048.45
Q3-798.08
95-th percentile-563.9495
Maximum-467.07
Range3662.46
Interquartile range (IQR)540.4975

Descriptive statistics

Standard deviation663.58928
Coefficient of variation (CV)-0.55165216
Kurtosis7.6244228
Mean-1202.9125
Median Absolute Deviation (MAD)279.755
Skewness-2.3888091
Sum-62551.45
Variance440350.73
MonotonicityNot monotonic
2023-07-30T07:42:32.338907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-982.14 1
 
1.9%
-1364.13 1
 
1.9%
-1241.15 1
 
1.9%
-1834.89 1
 
1.9%
-1977.59 1
 
1.9%
-2036.13 1
 
1.9%
-1393.25 1
 
1.9%
-850.52 1
 
1.9%
-580.46 1
 
1.9%
-713.74 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-4129.53 1
1.9%
-3232.98 1
1.9%
-2232.21 1
1.9%
-2121.18 1
1.9%
-2036.13 1
1.9%
-1977.59 1
1.9%
-1881.81 1
1.9%
-1834.89 1
1.9%
-1630.39 1
1.9%
-1480.63 1
1.9%
ValueCountFrequency (%)
-467.07 1
1.9%
-488.33 1
1.9%
-543.77 1
1.9%
-580.46 1
1.9%
-622.17 1
1.9%
-657.86 1
1.9%
-672.19 1
1.9%
-692.25 1
1.9%
-713.74 1
1.9%
-731.61 1
1.9%

Coke
Real number (ℝ)

Distinct26
Distinct (%)100.0%
Missing26
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean-413.39385
Minimum-1120.49
Maximum-9.66
Zeros0
Zeros (%)0.0%
Negative26
Negative (%)50.0%
Memory size548.0 B
2023-07-30T07:42:32.595096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1120.49
5-th percentile-968.85
Q1-741.5
median-313.885
Q3-77.595
95-th percentile-23.2775
Maximum-9.66
Range1110.83
Interquartile range (IQR)663.905

Descriptive statistics

Standard deviation366.65454
Coefficient of variation (CV)-0.88693758
Kurtosis-1.1908231
Mean-413.39385
Median Absolute Deviation (MAD)262.5
Skewness-0.54767519
Sum-10748.24
Variance134435.55
MonotonicityNot monotonic
2023-07-30T07:42:32.820043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-59.32 1
 
1.9%
-602.82 1
 
1.9%
-1120.49 1
 
1.9%
-676.46 1
 
1.9%
-962.1 1
 
1.9%
-963.51 1
 
1.9%
-822.85 1
 
1.9%
-863.78 1
 
1.9%
-763.18 1
 
1.9%
-412.81 1
 
1.9%
Other values (16) 16
30.8%
(Missing) 26
50.0%
ValueCountFrequency (%)
-1120.49 1
1.9%
-970.63 1
1.9%
-963.51 1
1.9%
-962.1 1
1.9%
-863.78 1
1.9%
-822.85 1
1.9%
-763.18 1
1.9%
-676.46 1
1.9%
-602.82 1
1.9%
-491.77 1
1.9%
ValueCountFrequency (%)
-9.66 1
1.9%
-22.07 1
1.9%
-26.9 1
1.9%
-45.52 1
1.9%
-57.25 1
1.9%
-59.32 1
1.9%
-75.87 1
1.9%
-82.77 1
1.9%
-97.94 1
1.9%
-168.98 1
1.9%

Charcoal
Categorical

MISSING  UNIFORM 

Distinct4
Distinct (%)100.0%
Missing48
Missing (%)92.3%
Memory size548.0 B
-15.4
-15.16
-8.81
-24.41

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters22
Distinct characters8
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row-15.4
2nd row-15.16
3rd row-8.81
4th row-24.41

Common Values

ValueCountFrequency (%)
-15.4 1
 
1.9%
-15.16 1
 
1.9%
-8.81 1
 
1.9%
-24.41 1
 
1.9%
(Missing) 48
92.3%

Length

2023-07-30T07:42:33.039955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-30T07:42:33.274357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
15.4 1
25.0%
15.16 1
25.0%
8.81 1
25.0%
24.41 1
25.0%

Most occurring characters

ValueCountFrequency (%)
1 5
22.7%
- 4
18.2%
. 4
18.2%
4 3
13.6%
5 2
 
9.1%
8 2
 
9.1%
6 1
 
4.5%
2 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
63.6%
Dash Punctuation 4
 
18.2%
Other Punctuation 4
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
35.7%
4 3
21.4%
5 2
 
14.3%
8 2
 
14.3%
6 1
 
7.1%
2 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
22.7%
- 4
18.2%
. 4
18.2%
4 3
13.6%
5 2
 
9.1%
8 2
 
9.1%
6 1
 
4.5%
2 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
22.7%
- 4
18.2%
. 4
18.2%
4 3
13.6%
5 2
 
9.1%
8 2
 
9.1%
6 1
 
4.5%
2 1
 
4.5%

Gases
Real number (ℝ)

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-159.26192
Minimum-553.45
Maximum-9.46
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:33.495132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-553.45
5-th percentile-369.983
Q1-264.86
median-117.77
Q3-58.675
95-th percentile-9.933
Maximum-9.46
Range543.99
Interquartile range (IQR)206.185

Descriptive statistics

Standard deviation129.08491
Coefficient of variation (CV)-0.81051958
Kurtosis0.21227913
Mean-159.26192
Median Absolute Deviation (MAD)75.43
Skewness-0.90925872
Sum-8281.62
Variance16662.913
MonotonicityNot monotonic
2023-07-30T07:42:33.750100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.46 3
 
5.8%
-335.92 1
 
1.9%
-185.26 1
 
1.9%
-167.63 1
 
1.9%
-180.53 1
 
1.9%
-188.26 1
 
1.9%
-131.53 1
 
1.9%
-141.47 1
 
1.9%
-109.77 1
 
1.9%
-139.56 1
 
1.9%
Other values (40) 40
76.9%
ValueCountFrequency (%)
-553.45 1
1.9%
-394.47 1
1.9%
-381.17 1
1.9%
-360.83 1
1.9%
-349.33 1
1.9%
-349.19 1
1.9%
-335.92 1
1.9%
-334.39 1
1.9%
-315.65 1
1.9%
-311.33 1
1.9%
ValueCountFrequency (%)
-9.46 3
5.8%
-10.32 1
 
1.9%
-10.75 1
 
1.9%
-12.47 1
 
1.9%
-27.08 1
 
1.9%
-30.95 1
 
1.9%
-32.24 1
 
1.9%
-36.11 1
 
1.9%
-37.4 1
 
1.9%
-47.71 1
 
1.9%

Other secondary
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing9
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean-565.59605
Minimum-1906.82
Maximum-0.88
Zeros0
Zeros (%)0.0%
Negative43
Negative (%)82.7%
Memory size548.0 B
2023-07-30T07:42:34.013778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1906.82
5-th percentile-1711.469
Q1-1179.67
median-310.32
Q3-52.495
95-th percentile-8.06
Maximum-0.88
Range1905.94
Interquartile range (IQR)1127.175

Descriptive statistics

Standard deviation632.63401
Coefficient of variation (CV)-1.1185262
Kurtosis-0.73400329
Mean-565.59605
Median Absolute Deviation (MAD)261.62
Skewness-0.9750927
Sum-24320.63
Variance400225.79
MonotonicityNot monotonic
2023-07-30T07:42:34.259584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
-12.37 2
 
3.8%
-1281.38 1
 
1.9%
-310.32 1
 
1.9%
-372.79 1
 
1.9%
-264.04 1
 
1.9%
-335.36 1
 
1.9%
-346.66 1
 
1.9%
-572.78 1
 
1.9%
-366.33 1
 
1.9%
-1077.96 1
 
1.9%
Other values (32) 32
61.5%
(Missing) 9
 
17.3%
ValueCountFrequency (%)
-1906.82 1
1.9%
-1750.19 1
1.9%
-1719.2 1
1.9%
-1641.89 1
1.9%
-1586.85 1
1.9%
-1529.88 1
1.9%
-1500.63 1
1.9%
-1494.97 1
1.9%
-1465.4 1
1.9%
-1427.51 1
1.9%
ValueCountFrequency (%)
-0.88 1
1.9%
-2.63 1
1.9%
-7.97 1
1.9%
-8.87 1
1.9%
-12.37 2
3.8%
-29.54 1
1.9%
-30.89 1
1.9%
-48.7 1
1.9%
-49.53 1
1.9%
-52.09 1
1.9%

Non-energy
Real number (ℝ)

Distinct21
Distinct (%)100.0%
Missing31
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean-162.6381
Minimum-289.17
Maximum-0.89
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)40.4%
Memory size548.0 B
2023-07-30T07:42:34.485274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-289.17
5-th percentile-265
Q1-233.26
median-182
Q3-85.88
95-th percentile-4.41
Maximum-0.89
Range288.28
Interquartile range (IQR)147.38

Descriptive statistics

Standard deviation89.04439
Coefficient of variation (CV)-0.5475002
Kurtosis-0.76798595
Mean-162.6381
Median Absolute Deviation (MAD)54.16
Skewness0.64884105
Sum-3415.4
Variance7928.9034
MonotonicityNot monotonic
2023-07-30T07:42:34.681535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-230.48 1
 
1.9%
-194.95 1
 
1.9%
-237.9 1
 
1.9%
-289.17 1
 
1.9%
-154.36 1
 
1.9%
-231.81 1
 
1.9%
-11.31 1
 
1.9%
-165.65 1
 
1.9%
-68.6 1
 
1.9%
-265 1
 
1.9%
Other values (11) 11
 
21.2%
(Missing) 31
59.6%
ValueCountFrequency (%)
-289.17 1
1.9%
-265 1
1.9%
-237.9 1
1.9%
-237.38 1
1.9%
-236.16 1
1.9%
-233.26 1
1.9%
-231.81 1
1.9%
-230.48 1
1.9%
-202.2 1
1.9%
-194.95 1
1.9%
ValueCountFrequency (%)
-0.89 1
1.9%
-4.41 1
1.9%
-11.31 1
1.9%
-68.6 1
1.9%
-70.92 1
1.9%
-85.88 1
1.9%
-138.14 1
1.9%
-154.36 1
1.9%
-165.65 1
1.9%
-174.93 1
1.9%

Total Secundaries
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4630.5871
Minimum-11630.9
Maximum-1251.27
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:34.932092image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-11630.9
5-th percentile-8811.999
Q1-6512.91
median-4470.095
Q3-2407.94
95-th percentile-1422.1325
Maximum-1251.27
Range10379.63
Interquartile range (IQR)4104.97

Descriptive statistics

Standard deviation2539.0793
Coefficient of variation (CV)-0.54832773
Kurtosis-0.27693325
Mean-4630.5871
Median Absolute Deviation (MAD)2062.8
Skewness-0.56719812
Sum-240790.53
Variance6446923.8
MonotonicityNot monotonic
2023-07-30T07:42:35.190675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1282.58 1
 
1.9%
-1588.63 1
 
1.9%
-5721.15 1
 
1.9%
-7131.84 1
 
1.9%
-7866.99 1
 
1.9%
-7573.84 1
 
1.9%
-5433.53 1
 
1.9%
-5411.45 1
 
1.9%
-5095.97 1
 
1.9%
-5379.75 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-11630.9 1
1.9%
-9873.23 1
1.9%
-9397.43 1
1.9%
-8333.01 1
1.9%
-8215.28 1
1.9%
-7866.99 1
1.9%
-7573.84 1
1.9%
-7131.84 1
1.9%
-7124.91 1
1.9%
-6740.34 1
1.9%
ValueCountFrequency (%)
-1251.27 1
1.9%
-1282.58 1
1.9%
-1419.3 1
1.9%
-1424.45 1
1.9%
-1494.68 1
1.9%
-1575.5 1
1.9%
-1583.46 1
1.9%
-1588.63 1
1.9%
-1966.95 1
1.9%
-2273.09 1
1.9%

Total
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-17747.43
Minimum-31361.27
Maximum-5422.47
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)100.0%
Memory size548.0 B
2023-07-30T07:42:35.434490image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-31361.27
5-th percentile-28377.626
Q1-23027.85
median-17759.55
Q3-11928.62
95-th percentile-6240.425
Maximum-5422.47
Range25938.8
Interquartile range (IQR)11099.23

Descriptive statistics

Standard deviation7113.0067
Coefficient of variation (CV)-0.40079081
Kurtosis-0.94482744
Mean-17747.43
Median Absolute Deviation (MAD)5565.225
Skewness0.092066481
Sum-922866.34
Variance50594864
MonotonicityNot monotonic
2023-07-30T07:42:35.693828image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5422.47 1
 
1.9%
-5437.72 1
 
1.9%
-17948.49 1
 
1.9%
-23566.89 1
 
1.9%
-26392.94 1
 
1.9%
-28297.94 1
 
1.9%
-14727.57 1
 
1.9%
-15224.82 1
 
1.9%
-16615.55 1
 
1.9%
-17256.75 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
-31361.27 1
1.9%
-30174.57 1
1.9%
-28475.02 1
1.9%
-28297.94 1
1.9%
-26510.47 1
1.9%
-26507 1
1.9%
-26392.94 1
1.9%
-26193.16 1
1.9%
-26079.55 1
1.9%
-24741.86 1
1.9%
ValueCountFrequency (%)
-5422.47 1
1.9%
-5437.72 1
1.9%
-5936.88 1
1.9%
-6488.78 1
1.9%
-6959.24 1
1.9%
-7668.33 1
1.9%
-7818.1 1
1.9%
-8737.61 1
1.9%
-9529.34 1
1.9%
-10078.94 1
1.9%

Interactions

2023-07-30T07:42:18.603679image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:49.256661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:56.390322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:00.975284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:05.318081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:10.338790image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:14.924082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:18.836006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:24.023536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:28.341654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:32.482579image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:37.651546image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:41.940874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:46.055808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:51.509300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:55.826703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:59.737438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:05.140857image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:09.399078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:13.270692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:18.997213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:49.773923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:57.030973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:01.379096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:05.723896image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:10.985152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:15.268089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:19.284079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:24.673062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:28.747086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:32.886283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:38.238560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:42.103692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:46.463398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:51.947578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:56.083840image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:00.153356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:05.512738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:09.635244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:13.655272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:19.161623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:50.089741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:57.282023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:01.565418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:05.889106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:11.261035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:15.454473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:19.464129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:24.852601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:28.933392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:33.061673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:38.401409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:42.331660image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:46.629591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:52.133893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:56.268420image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:00.320009image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:05.711836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:09.830223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:13.820408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:19.383909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:50.443734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:57.622324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:01.796589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:06.118996image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:11.487082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:15.640514image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:19.665736image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:25.061728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:29.146163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:33.263510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:38.603480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:42.530750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:46.846143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:52.355203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:56.482640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:00.522944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:05.939641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:10.058125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:14.039042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:19.592409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:50.787400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:57.946756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:02.016588image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:06.324893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:11.698126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:15.826862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:19.859325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:25.255969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:29.339977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:33.470035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:38.801413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:42.723417image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:47.038892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:52.565763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:56.689038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:00.710802image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:06.141742image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:10.261177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:14.255297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:19.792523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:51.130065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:58.139494image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:02.229438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:06.521501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:11.892770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:15.994545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:20.067018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:25.445713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:29.531543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:33.659772image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:38.992562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:42.941899image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:47.255984image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:52.770167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:56.880483image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:00.923632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:06.343781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:10.444503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:14.444572image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:19.986804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:51.407264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:58.304546image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:02.424396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:06.700078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:12.077168image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:16.148888image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:20.233973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:25.625056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:29.706269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:33.843199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:39.173638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:43.154175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:47.462792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:52.955527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:57.075118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:01.098666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:06.536369image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:10.624276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:14.622383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:20.195300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:51.755879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:58.493675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:02.634706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:06.906090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:12.272948image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:16.326178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:20.425381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:25.825318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:29.922073image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:34.049612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:39.364999image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:43.345665image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:47.662511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-07-30T07:41:59.188785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:04.460571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:08.779081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:12.697006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:17.988747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:22.350406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:55.380146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:00.627060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:04.906936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:09.706138image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:14.532677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:18.454700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:23.406813image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:27.965524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:32.106031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:37.062826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:41.564558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:45.629702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:50.955497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:55.415881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:59.365046image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:04.761918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:08.979547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:12.886482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:18.216106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:22.546331image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:40:55.906774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:00.797294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:05.119110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:10.017754image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:14.723262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:18.627082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:23.727956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:28.154555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:32.292467image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:37.338722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:41.750100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:45.835409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:51.221094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:55.626362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:41:59.560103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:04.956874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:09.195102image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:13.074182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:42:18.419337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Missing values

2023-07-30T07:42:22.883402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-07-30T07:42:23.487782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-07-30T07:42:23.861048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

787YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
11970-25535.85-104.22-2106.76-3421.52NaN-3506.56-451.90-81.16-35207.96NaNNaN-38.77NaN-192.90-982.14-59.32NaN-9.46NaNNaN-1282.58-5422.47
21971-27087.07-156.77-2160.31-3713.63NaN-3992.44-468.64-79.87-37658.73NaNNaN-46.15NaN-168.89-1364.13NaNNaN-9.46NaNNaN-1588.63-5437.72
31972-32312.49-178.65-2172.22-4356.82NaN-4626.45-508.38-94.16-44249.17NaNNaN-111.26NaN-183.47-864.32-82.77NaN-9.46NaNNaN-1251.27-5936.88
41973-38585.82-173.34-2174.70-4976.55NaN-4909.68-484.83-88.45-51393.36NaNNaN-258.13NaN-186.90-1110.08-9.66NaN-10.75NaNNaN-1575.50-6488.78
51974-41273.49-205.79-2125.17-5646.13NaN-6119.43-468.44-95.02-55933.47NaNNaN-287.28NaN-190.33-891.01-45.52NaN-10.32NaNNaN-1424.45-6959.24
61975-44830.05-222.33-2498.04-6214.19NaN-7314.93-459.75-93.31-61632.62NaNNaN-323.38NaN-203.19-928.75-26.90NaN-12.47NaNNaN-1494.68-7818.10
71976-47517.07-226.70-3073.38-7127.67NaN-6641.57-488.38-107.46-65182.23NaNNaN-319.78NaN-164.61-907.84NaNNaN-27.08NaNNaN-1419.30-7668.33
81977-48812.14-255.44-3686.22-8036.06NaN-6751.89-990.72-107.60-68640.07NaNNaN-325.04NaN-152.60-999.00-75.87NaN-30.95NaNNaN-1583.46-8737.61
91978-54419.83-255.89-4083.81-8832.62NaN-6915.50-1566.14-126.90-76200.70NaNNaN-388.12NaN-186.90-1190.71-168.98NaN-32.24NaNNaN-1966.95-9529.34
101979-56632.59-231.82-4403.03-10021.87NaN-8138.58-1990.18-199.06-81617.14NaNNaN-652.63-0.82-289.77-1066.66-226.23NaN-36.11-0.88NaN-2273.09-10171.33
787YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
432012-101291.64-11290.94-10345.70-35737.54-4179.70-9197.19-16756.89-5473.51-194273.10NaNNaN-2449.39NaN-2648.16-1330.06NaNNaN-274.35-1465.40-165.65-8333.01-22606.88
442013-108340.20-16132.09-11486.10-33642.36-4026.28-8383.73-19845.32-5969.37-207825.46NaNNaN-3079.00NaN-2645.54-2232.21NaNNaN-263.30-1641.89-11.31-9873.23-28475.02
452014-110094.93-19823.19-12365.97-32028.39-4007.72-8242.43-20639.82-7566.35-214768.79NaNNaN-2104.21NaN-3286.14-4129.53NaNNaN-349.33-1529.88-231.81-11630.90-31361.27
462015-104097.68-19842.89-12146.86-30853.72-3839.81-7829.00-21777.55-9016.19-209403.68NaNNaN-1930.91NaN-2426.36-3232.98NaNNaN-306.54-1500.63NaN-9397.43-30174.57
472016-95518.07-17246.76-11873.24-32677.11-4134.34-7080.66-20887.52-10256.12-199673.82NaNNaN-2178.85NaN-1202.00-1388.52NaNNaN-269.54-1427.51NaN-6466.41-26079.55
482017-91042.16-18934.35-12079.56-31818.86-4101.73-7347.69-20619.04-11701.71-197645.09NaNNaN-2454.01NaN-1010.00-1630.39NaNNaN-381.17-1494.97-154.36-7124.91-26507.00
492018-89173.02-16120.62-11501.72-33368.56-4084.71-7718.11-23388.63-13591.22-198946.59NaNNaN-1823.15NaN-1183.89-1133.67NaNNaN-360.83-1750.19-289.17-6540.90-24741.86
502019-89250.79-17715.69-11064.58-34132.58-4203.27-7928.23-24570.39-14843.86-203709.39NaNNaN-2337.59NaN-1392.63-467.07NaNNaN-349.19-1719.20-237.90-6503.58-26193.16
512020-93235.34-15103.99-9657.17-34004.25-3665.67-7967.51-23504.19-15913.03-203051.15NaNNaN-1598.52NaN-1643.72-488.33NaNNaN-334.39-1586.85-194.95-5846.75-23730.45
522021-93286.20-20068.66-12255.29-31125.01-3835.75-7775.51-21164.15-18575.13-208085.70NaNNaN-1865.73NaN-1933.18-1881.81NaNNaN-394.47-1906.82-233.26-8215.28-26510.47